The numpy.bitwise_xor () function is used to calculate the bitwise XOR of two arrays element by element. This function computes the bitwise XOR of the base binary representation of integers in the input arrays.
Syntax: numpy.bitwise_xor (arr1, arr2, /, out = None, *, where = True, casting = 'same_kind', order = 'K', dtype = None, ufunc 'bitwise_xor')
Parameters:
arr1: [array_like] Input array.
arr2: [array_like] Input array.
out: [ndarray, optional] A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshlyallocated array is returned.
** kwargs: Allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where: [array_like, optional] True value means to calculate the universal functions (ufunc) at that position, False value means to leave the value in the output alone.Return: [ndarray or scalar] Result. This is a scalar if both x1 and x2 are scalars.
Code # 1: Work
# Python program explaining
# bitwise_xor () function
import
numpy as geek
in_num1
=
10
in_num2
=
11
print
(
"Input number1:"
, in_num1)
print
(
"Input number2:"
, in_num2)
out_num
=
geek.bitwise_xor (in_num1, in_num2)
print
(
"bitwise_xor of 10 and 11:"
, out_num)
Output:
Input number1: 10 Input number2: 11 bitwise_xor of 10 and 11: 1
Code # 2:

Output:
Input array1: [2, 8, 125] Input array2: [3 , 3, 115] Output array after bitwise_xor: [1 11 14]
Code # 3:
# Python program explaining
# bitwise_xor () function
import
numpy as geek
in_arr1
=
[
True
,
False
,
True
,
False
]
in_arr2
=
[
False
,
False
,
True
,
True
]
print
(
"Input array1:"
, in_arr1)
print
(
"Input array2:"
, in_arr2)
out_arr
=
geek.bitwise_xor (in_arr1, in_arr2)
print
(
"Output array after bitwise_xor:"
, out_arr)
Output:
Input array1: [True , False, True, False] Input array2: [False, False, True, True] Output array after bitwise_xor: [True False False True]
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